Leveraging Existing Data and Analytic Methods for Health Disparities Research Related to Aging and Alzheimer's Disease and Related Dementias
This two-day workshop will be focused on analysis of population data and demonstrating how studies using established administrative data resources such as Medicare claims databases combined with complex well-established and innovative analytic approaches (such as partitioning analyses, time-series based methods of projection and forecasting, and stochastic process models) can be used to uncover previously overlooked or understudied aspects in this area of research.
increase collaboration and partnership in an interdisciplinary research community focused on analytic methods for large-scale population and clinic-related data
construct a bridge between independent research subgroups
identify ways to achieve synergistic effects in multidisciplinary research by combining innovative approaches developed across different research groups
Ultimately, our long-term goal is to diffuse the active use of advanced analytic methods for analyses of existing big health population datasets in health disparity research.